Sistem Keamanan Rumah Berbasis Internet of Things Menggunakan Metode Rapid Application Development
DOI:
https://doi.org/10.29408/jit.v7i2.26013Keywords:
Arduino Uno, Camera, ESP32CAM, Home Security, IoT, Photo Notification, PIR SensorAbstract
Conventional home security systems often lack the ability to monitor and respond in real-time, which makes them vulnerable to security breaches and delayed interventions. This research is an Internet of Things (IoT) based home security system that uses hard programming methods. This system consists of hardware that uses Arduino Uno, ESP32CAM and PIR sensor modules to detect movement, an ESP32CAM camera that takes pictures, and an Arduino Uno board that processes and transmits data. ESP32CAM takes images from the PIR sensor and sends them to the cloud server when it detects motion. The smartphone application then allows users to find out about potential disruptions in real-time through photo notifications. The system's ability to provide immediate visual evidence of suspicious activity, allowing for a rapid and informed response, determines the system's effectiveness. This system is also cheap and easy to use, so a wide range of users can use it. The use of easily accessible components and open-source software reduces costs and simplifies setup, enabling widespread adoption of this updated security product
References
Sutarti, S. Samsuni, and I. Asseghaf, “Sistem Keamanan Rumah melalui Pengenalan Wajah Menggunakan Webcam dan Library Opencv Berbasis Raspberry Pi,” J. Din. Inform., vol. 8, no. 2, pp. 13–26, 2019, [Online]. Available: https://jdi.upy.ac.id/index.php/jdi/article/view/37
W. Yulita and A. Afriansyah, “Alat Pemantau Keamanan Rumah Berbasis Esp32-Cam,” J. Teknol. dan Sist. Tertanam, vol. 3, no. 2, pp. 2–10, 2022, doi: 10.33365/jtst.v3i2.2197.
A. S. Fadillah and P. Purwanto, “Prototipe Keamanan Rumah Menggunakan ESP32 Cam dan Sensor PIR Berbasis Android,” Semin. Nas. Mhs. Fak. Teknol. Inf., vol. 1, no. 1, pp. 1129–1136, 2022.
Suradi, A. Martani, I. Arfiani, and Sarli, “Perancangan Sistem Pintu Otomatis Menggunakan ESP32CAM,” J. Teknol. dan Komput., vol. 2, no. 01, pp. 104–110, 2022, doi: 10.56923/jtek.v2i01.60.
Ary Purnomo, Denny Hardiyanto, and Sulistyaning Kartikawati, “Smart Doorlock System Menggunakan Kontrol Android Blynk Untuk Pemantauan Keamanan Rumah Tinggal,” Semin. Nas. Pendidik. Tek. Elektro, vol. 01, pp. 01–10, 2022.
D. Watson and H. Tjahyadi, “Smart Bell Berbasis Arduino Dan Web Sebagai Aplikasi IoT Pada Sistem Keamanan Rumah,” J. Inf. Syst. Dev. , vol. 2, no. 2, pp. 70–78, 2022, [Online]. Available: http://dx.doi.org/10.19166/xxxx
R. Muwardi and R. R. Adisaputro, “Design Sistem Keamanan Pintu Menggunakan Face Detection,” J. Teknol. Elektro, vol. 12, no. 3, p. 120, 2021, doi: 10.22441/jte.2021.v12i3.004.
R. Dwi Putra and R. Mukhaiyar, “Perancangan Sistem Pemantau Keamanan Rumah Dengan Sensor Pir dan Kamera Berbasis Mikrokontroler dan Internet Of Things (Iot),” Ranah Res. J. Multidiscip. Res. Dev., vol. 4, no. 3, pp. 201–209, 2022, doi: 10.38035/rrj.v4i3.469.
S. Mohammad Noviansyah, “Sistem Pengamanan Otomatis Dengan Pengenalan Wajah Berbasis Internet Of Things,” J. AKRAB JUARA, vol. 7, no. 8.5.2017, pp. 2003–2005, 2022.
akalily mardhiyya muhammad handika indriawan, fildzah shabrina, “Sistem Keamanan Pintu Rumah Berbasis Face recognotopn,” juputer J. penerapan ilmu-ilmu Komput., vol. 3, no. 1, pp. 23–29, 2022, doi: 10.30630/jitsi.3.1.56.
A. P. Y. Waroh, N. Sajangbati, S. K. Sawidin, M. A. S. Kondoj, and T. J. W. Tony J. Wungkana, “Sistem Keamanan Rumah Melalui Pengenalan Wajah Dengan Webcam Berbasis Raspberry Pi4,” Jambura J. Electr. Electron. Eng., vol. 6, no. 1, pp. 07–12, 2024, doi: 10.37905/jjeee.v6i1.21714.
Benny et al., “Sistem Pengamanan Pintu Rumah Dengan Raspberry Pi Berbasis Internet of Things,” J. Ilm. Core IT, vol. 10, no. 1, pp. 42–50, 2022, [Online]. Available: http://ijcoreit.org/index.php/coreit/article/view/308/445
AfrizaL, S. J. I. Ismail, and G. B. Satrya, “Perancangan Sistem Keamanan Rumah Menggunakan Deteksi Wajah Berbasis Machine Learning Menggunakan Tensorflow,” e-Proceeding Appl. Sci., vol. 8, no. 1, pp. 9–21, 2022.
F. F. Fahrizal, “Implementasi Sistem Pengenalan Wajah Untuk Keamanan Akses Berbasis Ubuntu Menggunakan Python,” JIKA (Jurnal Inform., vol. 5, no. 2, p. 210, 2021, doi: 10.31000/jika.v5i2.4509.
M. Ramli, D. J. Mamahit, J. O. Wuwung, E. Upton, R. Mullins, and J. Lang, “Rancang Bangun Sistem Pemantau Tamu Pada Smart Home Berbasis Raspberry PI 3,” E-Journal Tek. Elektro, vol. 7, no. 1, pp. 1–8, 2018.
E. N. Rahmatunnisa, B. A. Fernanda, Y. Maulana, and A. M. H. Aripin, “Implementasi Sistem Keamanan Rumah Berbasis Pengenalan Wajah untuk Peningkatan Keamanan Residensial,” Infotek J. Inform. dan Teknol., vol. 7, no. 1, pp. 205–215, 2024, doi: 10.29408/jit.v7i1.23868.
A. Sudianto, L. K. Wijaya, J. Jumawal, and M. Mahpuz, “Penerapan Aplikasi Warung Media Berbasis Android Guna Meningkatkan Promosi dan Penjualan”, INFOTEK, vol. 7, no. 1, pp. 267–275, Jan. 2024”
D. Trisatya, “Digitalisasi Pengembangan Sistem KKN Universitas Pancasakti Tegal Berbasis GIS Menggunakan Metode Prototyping,” JATISI (Jurnal Tek. Inform. dan Sist. Informasi), vol. 10, no. 4, pp. 272–280, 2023,
A. K. Nalendra, “Rapid Application Development (RAD) model method for creating an agricultural irrigation system based on internet of things,” IOP Conf. Ser. Mater. Sci. Eng., vol. 1098, no. 2, p. 022103, 2021, doi: 10.1088/1757-899x/1098/2/022103.
M. D. Purwanto, H. Sujadi, and I. Marina, “Perancangan Alat Monitoring Kualitas Tanah Tanaman Kedelai Berbasis Internet Of Things,” pp. 272–277, 2024
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